Description

Clearly written and free of statistical jargon, this invaluableguide concentrates on the practicalities of statistical analysisfor anyone involved with agricultural research.
Each section starts with the key points, giving a quick referenceto the contents and plenty of examples using 'real' data.

Successful experiment design starts with a statement of aims. Theauthors guide the reader through planning an experiment, includingdefining objectives, considering treatments, measurements ofinterest and the time and timing of assessments. Advantages anddisadvantages of different experiment designs and the importance ofdata exploration and graphical presentation are covered, as aredata collection, storage, validation and verification. Statisticaltechniques include the t-test, anlaysis of variance, basicregression analysis and non-parametric techniques. Assumptionsinherent to these techniques are clearly identified (bearing inmind the principles and aims) without losing the reader instatistical theory. All of the techniques are illustrated withworked examples and give full interpretation of the results.Formulae are kept to a minimum in the main text, but are given infull in the appendix.

Statistical Experiment Design and Interpretation: An Introduction with Agricultural Examples

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Hardback by Claire A. Collins , Frances M. Seeney

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Short Description:

Clearly written and free of statistical jargon, this invaluableguide concentrates on the practicalities of statistical analysisfor anyone involved with agricultural... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 09/07/1999
    ISBN13: 9780471960065, 978-0471960065
    ISBN10: 0471960063

    Number of Pages: 288

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    Clearly written and free of statistical jargon, this invaluableguide concentrates on the practicalities of statistical analysisfor anyone involved with agricultural research.
    Each section starts with the key points, giving a quick referenceto the contents and plenty of examples using 'real' data.

    Successful experiment design starts with a statement of aims. Theauthors guide the reader through planning an experiment, includingdefining objectives, considering treatments, measurements ofinterest and the time and timing of assessments. Advantages anddisadvantages of different experiment designs and the importance ofdata exploration and graphical presentation are covered, as aredata collection, storage, validation and verification. Statisticaltechniques include the t-test, anlaysis of variance, basicregression analysis and non-parametric techniques. Assumptionsinherent to these techniques are clearly identified (bearing inmind the principles and aims) without losing the reader instatistical theory. All of the techniques are illustrated withworked examples and give full interpretation of the results.Formulae are kept to a minimum in the main text, but are given infull in the appendix.

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